Staff Data Scientist, Research, Search Platforms

1 Month ago • 6-10 Years • Data Analyst • $197,000 PA - $291,000 PA

Job Summary

Job Description

The Search Platform Data Science team at Google is seeking a Staff Data Scientist to work on understanding and measuring Search systems. Responsibilities include collaborating with stakeholders to identify business questions, translating those questions into tractable analyses and models, using custom data infrastructure, designing and evaluating models, researching and developing analytical methods (e.g., forecasting, optimization) to improve Google's products, and independently managing data gathering, extraction, and validation. This role requires expertise in statistical analysis, coding (Python, R, SQL), and database querying. The team works on various aspects of search, including experiments, reliability, velocity, latency, capacity, content, and logs quality. The position offers an opportunity to impact billions of users globally. The role involves working on improving ad quality, search quality, user behavioral modeling, and live experiments.
Must have:
  • Master's degree in related quantitative field
  • 8+ years experience using analytics to solve business problems
  • Proficiency in Python, R, SQL
  • Experience with database querying and statistical analysis
  • Data gathering, extraction, and validation expertise
Good to have:
  • PhD degree
  • 10+ years of relevant work experience
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.

Preferred qualifications:

  • 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.

About the job

The Search Platform Data Science team works on understanding and measuring Search systems, including but not limited to Experiment, Reliability, Velocity, Latency, Capacity, Content, Logs Quality and Search Infrastructure.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
  • Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
  • Research and develop analysis, forecasting, and optimization methods to improve the quality of Google's user facing products. Example application areas include ads quality, search quality, end-user behavioral modeling, and live experiments.
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

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